Every other app idea list invents concepts and asserts demand. We counted complaints in 136,923 real App Store and Google Play reviews instead.
Search for app ideas and you get the same artefact repeatedly: a numbered list of concepts someone thought of. The largest page on the first results page runs to 12,491 words and 100 ideas. It does not cite a single user.
That is the whole problem with the genre. Ideas are free. What is scarce is evidence that anyone is annoyed enough to pay. So rather than invent another hundred concepts, we counted complaints across 136,923 App Store and Google Play reviews spanning 7,759 apps, of which 6,615 have been analysed into pain points, missing features, technical problems and monetisation feedback.
What comes back is not a list of ideas. It is a map of where existing apps break, which is a more useful thing to own.
Google ranks r/AppIdeas first for this search, above every marketing page. Worth asking what wins inside it. The top posts of the year are not idea lists. They are evidence lists, and they open by attacking the format everyone else uses.
“i got tired of seeing app ideas based on vibes. ‘wouldn’t it be cool if...’ cool for who? who’s paying?”
That post, built on three months of tracking 700+ complaint threads, drew 304 upvotes. The same author’s follow-ups drew 250, 210 and 191. The formula they land on is stated explicitly:
“specific complaint + existing spend + negative reviews of current tools = someone will pay.”
And the tell they use to spot an opportunity is the best single line in the genre: “every thread ends with ‘i just use a spreadsheet.’ that sentence is an app idea.”
The advice that closes those threads is “stop scrolling idea lists and start reading complaint threads,” with the qualifier “none of these are sexy. no AI wrappers.” This page is that method applied to 136,923 reviews instead of 700 forum posts. Quotes are attributed to platform only, never to accounts.
One corpus, queried live on September 21, 2026. The limitations are significant and stated here rather than buried, because one of them changes how you are allowed to read the tables.
| Source | What it is | Volume | Limitation |
|---|---|---|---|
| Review corpus | App Store and Google Play reviews | 136,923 | Deliberately weighted to critical reviews: 52.2% are one star and 67.0% are one or two star. Absolute rates describe our sample, not the stores. |
| Apps | Keyword-sampled apps across both stores | 7,759 | A keyword-driven sample, not a census of either store |
| AI complaint analysis | Pain points, missing features, technical and monetisation feedback | 6,615 | Model extraction from review text; themes are matched by term, so related phrasings may be missed |
| Genre gaps | Share of analysed apps in a genre mentioning a theme | Genres with 120+ analysed apps | Genre labels come from the stores and some apps carry several |
| Store ratings | Public store rating per app | 3,648 Apple / 3,115 rated Google Play | Population-level per app, so unaffected by our review sampling |
| Revenue comparison | Revenue-verified products | 8,699 | Separate corpus and taxonomy; comparison is directional |
The rule that follows from the sampling bias: every genre was sampled the same way, so comparing genres against each other is valid. Reading any single percentage as “this share of all app users are unhappy” is not. We flag this again at the one table where it matters most.
Reliability first, billing second, features a distant third. 69.4% of analysed apps carry crash and bug complaints and 58.5% carry subscription and paywall complaints. This single finding invalidates the most common app plan, which is to ship the same product with a longer feature list.
| Complaint theme | Share of analysed apps | What it means for a builder |
|---|---|---|
| Crashes and bugs | 69.4% | Reliability is the number one complaint, not features |
| Subscription and paywall | 58.5% | How you bill, not what you charge |
| Ads | 35.1% | Ad load is the second monetisation complaint |
| Customer support | 21.6% | Nobody replies |
| Sync failures | 19.6% | Multi-device is still unsolved |
| Login problems | 18.3% | Auth breaks on reinstall and device change |
| Refunds | 16.2% | Refund paths are deliberately hidden |
Read the top two together and a product thesis falls out of the data: an app in an established category that does not crash and bills transparently already answers the two complaints present in most of the market. It is an unglamorous thesis. It is also the one the evidence supports.
The billing cluster deserves separate attention because it is three findings, not one: 58.5% subscription friction, 35.1% ads and 16.2% refunds. Users are not mainly objecting to price levels. They object to being trapped, interrupted and unable to get money back.
Theme-level data tells you what to fix. This table tells you where. Each figure is the share of analysed apps in that genre whose reviews raise that specific gap, so these are concrete product requirements rather than category labels.
| Genre | Apps | Cancellation | Data loss | Customisation | Offline | Export |
|---|---|---|---|---|---|---|
| Travel | 147 | 27.2% | 8.2% | 24.5% | 3.4% | 4.8% |
| Education | 189 | 22.8% | 9.0% | 6.9% | 4.8% | 2.6% |
| Health & Fitness | 438 | 21.2% | 12.8% | 17.6% | 3.2% | 1.8% |
| Photo & Video | 143 | 20.3% | 21.0% | 5.6% | 4.2% | 13.3% |
| Business | 244 | 13.1% | 16.0% | 16.8% | 4.5% | 8.6% |
| Entertainment | 121 | 14.0% | 5.0% | 10.7% | 14.0% | 0.0% |
| Finance | 198 | 12.1% | 13.1% | 15.2% | 1.5% | 4.0% |
| Music | 158 | 7.6% | 10.1% | 13.9% | 11.4% | 6.3% |
| Productivity | 412 | 9.2% | 22.8% | 18.2% | 1.9% | 6.8% |
Five specific openings sit in that table, and each one is a buildable product:
Health and Fitness is the interesting middle case: 438 analysed apps, the largest genre in the corpus, with 21.2% cancellation friction, 17.6% customisation demand and 12.8% data loss. Large, contested, and still visibly failing on all three. Health app ideas and fitness app ideas break that category down further.
Here is where most complaint-driven idea hunting goes wrong. The genres with the loudest complaints are the ones that monetise worst.
| Genre | Critical reviews | Against 67.0% baseline |
|---|---|---|
| Photo & Video | 77.2% | Above |
| Entertainment | 76.0% | Above |
| Sports | 75.4% | Above |
| News | 74.2% | Above |
| Games | 71.8% | Above |
| Business | 70.3% | Above |
| Finance | 68.9% | At baseline |
| Travel | 68.0% | At baseline |
| Education | 65.5% | Below |
| Health & Fitness | 54.5% | Below |
| Productivity | 50.3% | Below |
Read this table relatively, not absolutely. The corpus is weighted to critical reviews, so the baseline is 67.0% by construction. What is meaningful is that Photo and Video sits ten points above it and Productivity sixteen points below.
Now overlay revenue. In our revenue-verified data, Entertainment carries a $76 median MRR and Health and Fitness $101, against $640 for sales tooling. Entertainment, Sports and News cluster at the top of the friction ranking and the bottom of the revenue ranking simultaneously.
Loud complaints plus weak willingness to pay is the single most expensive trap in app ideas. Users of free entertainment apps complain more precisely because they have not paid. The opportunity you want is a complaint that is loud and attached to money already changing hands, which is why Travel at 27.2% cancellation friction is more interesting than Entertainment at 76.0% general unhappiness. Our category revenue analysis covers the money side in full.
In our sample, 3,648 Apple App Store apps average a 4.48 store rating against 3.67 across 3,115 rated Google Play apps. That 0.81-point gap is one of the few figures on this page unaffected by our review sampling, because store ratings are population-level per app.
The practical read: iOS users rate higher and generally pay more readily, so if you are charging upfront and you are one person, ship iOS first. Android gives greater reach at lower revenue per user, which matters when your audience concentrates in markets where it dominates. Do not take the rating gap as proof Android apps are worse; a meaningful part of it is a different review culture.
An idea you cannot ship is not an idea. Across 30,322 companies taking payments, one-person software peaks at buildability 7 out of 10, where 28.3% of companies are solo builds, and collapses to 0.6% below buildability 5.
Apply that filter to the gaps above. A travel cancellation tool and a productivity app with real data durability sit in the buildable band. Anything requiring clinical data, banking integrations or a large licensed content library sits below 5, where solo builds essentially do not exist. The full distribution is in how small your MVP should actually be.
The reason this order matters is the one the r/AppIdeas post got right: generating concepts is free and proves nothing. Counting complaints is the part that carries information.
Category-level breakdowns, each built on the same corpus:
The best-evidenced ones attack reliability and billing rather than adding features. 69.4% of 6,615 analysed apps carry crash complaints and 58.5% carry subscription complaints, while missing features rank below both.
Count complaints instead of generating concepts. The reliable signal is a specific complaint repeating across multiple competing apps where users already pay for something they dislike. Travel shows cancellation complaints in 27.2% of analysed apps, which is a genre-wide failure rather than one bad operator.
Travel on cancellation (27.2%) and customisation (24.5%), Productivity on data loss (22.8%), Photo and Video on data loss (21.0%) and export (13.3%), and Entertainment and Music on offline access (14.0% and 11.4%).
Not automatically. Complaint volume is not willingness to pay. Entertainment ranks second on friction at 76.0% and carries a $76 median MRR against $640 for sales tooling.
iOS if you are charging, Android if you need reach. 3,648 Apple apps average 4.48 against 3.67 across 3,115 rated Google Play apps.
Within a band. One-person software peaks at buildability 7 out of 10 (28.3% of companies) and collapses to 0.6% below buildability 5.
Usually less than an existing category with a documented gap. An empty category is ambiguous: sometimes nobody built it, sometimes nobody will pay. A crowded category with a complaint repeating across every app has demand already proven.
136,923 App Store and Google Play reviews across 7,759 apps, 6,615 AI-analysed into pain points and feature gaps, queried live September 21, 2026. Sampling is weighted to critical reviews, so figures compare between genres rather than absolutely. Full limitations are in the methodology table above.
BigIdeasDB Research. (2026). App Ideas: 136,923 Real App Reviews, Ranked by What People Complain About. BigIdeasDB. Retrieved from https://bigideasdb.com/app-ideas